# Senior VLSI CAD Engineer

**Company**: NVIDIA
**Location**: Bengaluru, India
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/Senior-VLSI-CAD-Engineer_JR2016885
**Canonical**: https://yubhub.co/jobs/job_ad9e9c08-3e5

## Description

We seek an outstanding engineer to grow with our CAD/EDA/HPC team. You will develop and expand compute infrastructure for NVIDIA's next-generation silicon. Your responsibilities include managing job scheduler environments, integrating cloud compute, supporting CAD toolchains, and maintaining automation frameworks. These systems help our design teams move quickly toward tapeout.

**Key Responsibilities:**

- Running and fine-tuning sizable compute farms (LSF and/or Slurm) on Linux clusters, alongside integrating hybrid cloud solutions (AWS, Azure, or GCP) to elastically broaden on-premises CAD capacity.

- Working within the CAD/EDA software environment , troubleshooting performance issues, benchmarking tools, and driving root-cause resolution for complex infrastructure problems in a fast-paced build environment.

- Building automation frameworks in Python, Perl, Bash, or Tcl to streamline job scheduling, monitoring, and operational reporting.

- Collaborating with build teams to optimize job efficiency and resource utilization, and owning capacity planning for upcoming tapeout achievements.

**Requirements:**

- B.E./B.Tech or M.Tech/M.S. in Computer Science, Computer Engineering, Electronics Engineering, or a related field, with 3–8 years of hands-on experience in VLSI CAD infrastructure, EDA compute environments, or HPC system administration.

- Proven expertise with LSF or Slurm in a production multi-user environment. Strong Linux/Unix system administration skills are necessary.

- Proficiency in at least one scripting language, with Python preferred.

- Practical experience with cloud computing platforms (AWS, Azure, or GCP) , including compute, storage, networking, and cost basics , coupled with a solid grasp of CAD/EDA tool flows (synthesis, P&R, simulation, DRC/LVS, or equivalent).

- Excellent problem-solving skills with the ability to diagnose ambiguous infrastructure issues under time pressure.

## Skills

### Required
- VLSI CAD infrastructure
- EDA compute environments
- HPC system administration
- LSF or Slurm
- Linux/Unix system administration
- Python
- Cloud computing platforms (AWS, Azure, or GCP)
- CAD/EDA tool flows (synthesis, P&R, simulation, DRC/LVS, or equivalent)